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Adaptation of the Temporal Bisection Task for Remote Collection: Development, Analysis and Validation
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  • Marcel Valério de Arruda,
  • Bruna Verzili,
  • Flavio Herrmann,
  • Soraia Fernandes das Neves Glisoi,
  • Ruth Ferreira Galduróz,
  • Marcelo Bussotti Reyes
Marcel Valério de Arruda
Universidade Federal do ABC Centro de Matematica Computacao e Cognicao

Corresponding Author:[email protected]

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Bruna Verzili
Universidade Federal do ABC Centro de Matematica Computacao e Cognicao
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Flavio Herrmann
Universidade Federal do ABC Centro de Matematica Computacao e Cognicao
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Soraia Fernandes das Neves Glisoi
Universidade Federal do ABC Centro de Matematica Computacao e Cognicao
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Ruth Ferreira Galduróz
Universidade Federal do ABC Centro de Matematica Computacao e Cognicao
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Marcelo Bussotti Reyes
Universidade Federal do ABC Centro de Matematica Computacao e Cognicao
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Abstract

The COVID-19 pandemic posed a significant impediment to experimental research, leading several researchers to adapt psychophysical data acquisition. With the development and proliferation of information technology, paper-based organizational processes have gradually begun to be replaced by computer-based equivalents. This study describes how we developed, analyzed data, and validated the temporal bisection task in a remote data acquisition scenario. We implemented the data acquisition using the open science software OpenSesame, in conjunction with the JATOS platform. We described in detail all the steps to use our codes, which we made available for reuse. We acquired data from 28 participants using the remote acquisition system and compared them with data obtained in person (from Penney et al., 2000). Our remote data showed compatible results with live experiments, suggesting that the modality of data acquisition (remote or live) does not influence the results.